--- title: "Training a custom classification model with Document Intelligence Studio | Twyzer" description: "Train a custom classification model in Azure Document Intelligence Studio: set up a project, assign documents to categories, then train and test the model." url: "https://twyzer.nl/blogs/training-a-custom-classification-model-with-document-intelligence-studio/" language: "nl-NL" --- Blog # Training a custom classification model with Document Intelligence Studio Technologie13 juni 2024 ![Portret van Michelle Barlo, Engineer bij Twyzer](https://twyzer.nl/media/uploads/2026/07/1Y1A6408-e1786612601175.jpg?width=200 "Michelle Barlo") Geschreven door Michelle Barlo - Engineer In this blog, I will show you how you can build your own custom classification model using the Document Intelligence Studio. If this is your first time looking at the Document Intelligence Studio I recommend looking at this blog first: [First look at Document Intelligence Studio](https://twyzer.nl/blogs/first-look-at-document-intelligence-studio/) ![Illustration of stacked documents next to a circuit icon with a gear](https://twyzer.nl/media/uploads/2026/08/ThumbnailCustomClassification.png?width=1200 "Custom classification thumbnail") ![](https://twyzer.nl/static/gradient.jpg) Link: [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio) ## Blogs This blog is part in a series of blogs about the capabilities of the Azure Document Intelligence resource. - [First look at Document Intelligence Studio](https://twyzer.nl/blogs/first-look-at-document-intelligence-studio/) - [Training a custom extraction model with Document Intelligence Studio](https://twyzer.nl/blogs/training-a-custom-extraction-model-with-document-intelligence-studio/) - [Training a custom classification model with Document Intelligence Studio](https://twyzer.nl/blogs/training-a-custom-classification-model-with-document-intelligence-studio/) - [Training a custom classification model with Word or Excel Documents](https://twyzer.nl/blogs/training-a-custom-classification-model-with-with-word-or-excel-documents/) ## Requirements - Azure ‘Document Intelligence’ or ‘Azure AI services multi-service account’ resource - Azure ‘Storage account’ - Minimal of 10 Documents (5 per category, minimum of 2 categories) ## Project setup Open the custom classification model page in Document Intelligence Studio (1). Scroll down the page and select _Create a project_ in the _My projects_ list (2). ![Document Intelligence Studio tile Custom classification model](https://twyzer.nl/media/uploads/2026/08/ClassificationModel.png?width=1200 "Custom classification model") ![Document Intelligence Studio My Projects with Create a project highlighted](https://twyzer.nl/media/uploads/2026/08/My-projectsClassification.png?width=1200 "Create a project") This will open a wizard with four steps for setting up your project. 1. Provide a name and description for the project. 2. Select the Document Intelligence resource and API version you want to use. 3. Select the storage account, container, and folder to store the training data. 4. Review and create your project. ## Training Upload the files you want to use to train your model. (1) Upload at least 5 documents per catagory you wish to create. You can see the files you uploaded in the middle of the screen (2). Use _Add type_ button (3) to define the categories you wish to use in this model. ![Document Intelligence Studio label screen with an unclassified document](https://twyzer.nl/media/uploads/2026/08/ScreenUnclassified-1024x476-1.png?width=1200 "Unclassified documents") Then Select the document and add the corresponding category. ![Packing list documents with a menu to assign the type Invoice or PackingList](https://twyzer.nl/media/uploads/2026/08/catagories.png?width=1200 "Assign a document type") ![Document types Invoice and PackingList with five packing lists classified](https://twyzer.nl/media/uploads/2026/08/Catagorized.png?width=1200 "Classified documents") When documents are assigned to the correct category, you can train your model by selecting the _Train_ button in the top right corner of the screen. Be patient, training a model can take a little while. You can see the status of your model by navigating to the Models tab from the menu on the left of the screen. ## Testing When the model is ready you can test it using the _Test_ (1) option in the menu. Upload the file you want to use to test your model (2), Do not use the same files you used to train the model. Select _Run analysis_ (3) on the file. On the right side of the screen you will see the results of the analysis. (4) ![Document Intelligence Studio test screen with the classification result of a packing list](https://twyzer.nl/media/uploads/2026/08/TestScreenClassify-1024x472-1.png?width=1200 "Test the classification model") ## File types At the moment of writing it is only possible to classify the following file types using the Document Intelligence Studio: .jfif .pjpeg .jpeg .pjp, .jpg .pdf .png .tif .tiff. In API versions 2024-02-29-preview, 2023-10-31-preview, and later you can train a custom classification model on Microsoft Office documents (.docx, .xlxs and .pptx), but only using the REST API. If you want to know more about how to do this, than read my blog about [Training a custom classification model with Word or Excel Documents](https://twyzer.nl/blogs/training-a-custom-classification-model-with-with-word-or-excel-documents/). ## Bouw verder op een fundament dat klopt Je wilt vooruit met data en AI. Maar wel vanuit een omgeving waarop je kunt vertrouwen. Wij helpen je grip te houden, juist wanneer keuzes complex worden. Laten we samen kijken welke stap jouw organisatie nu verder helpt. [Neem contact met ons op](https://twyzer.nl/contact/) [Neem contact met ons op](https://twyzer.nl/contact/) ![](https://twyzer.nl/static/pattern.png)![](https://twyzer.nl/static/gradient.jpg) ![Illustratie van servers die verbonden zijn met de cloud](https://twyzer.nl/media/uploads/2026/05/data.png?width=800 "Illustratie data-infrastructuur") Blogs ## Ook interessant Gebruik de pijltjestoetsen om door de carousel te navigeren. Gebruik Home en End om naar het begin of einde te gaan. 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